Wearables & connected devices

Embedded IoT platform for sensor fusion and haptic alerting

A battery-operated platform combining inertial motion sensing, precision load measurement and real-time haptic feedback — connected continuously over Bluetooth Low Energy.

Overview

What was delivered

XceedMinds designed and delivered a compact, battery-operated embedded IoT solution built around the Nordic nRF52833 SoC, combining motion sensing, precision load measurement and real-time haptic feedback in a single low-power platform.

The result is a self-contained sensing-to-feedback loop: detect, decide and respond, all within milliseconds, on a platform compact enough to run for extended periods on a single battery charge.

  • Nordic nRF52833
  • Zephyr RTOS
  • nRF Connect SDK
  • BLE 5 / GATT
  • Load cell + INA
  • Sensor fusion

The challenge

What made it difficult

The constraints that shaped every decision downstream.

01

Fusing two very different sensor modalities

Inertial motion and mechanical load had to be combined accurately, without compromising on battery life or form factor.
02

Feedback in real time, not after a round trip

The user had to receive feedback immediately rather than waiting on a cloud response, while the device still maintained a continuous wireless link for logging and analytics.
03

A noise-sensitive analog front end

Load cell signals are low-amplitude and noise-sensitive, requiring careful analog front-end design before they could be digitised cleanly enough to fuse with accelerometer data.

The solution

How it was built

  1. Core design

    At the core sits the Nordic nRF52833, a Bluetooth 5-capable SoC chosen for its balance of processing headroom, radio efficiency and ultra-low-power operating modes.

  2. Firmware architecture

    Firmware runs on Zephyr RTOS via the nRF Connect SDK, with each peripheral configured through Zephyr devicetree overlays. Sensor sampling and fusion run as cooperating Zephyr threads and work queues, the vibration motor is driven through Zephyr’s PWM driver, and BLE connectivity uses Zephyr’s Bluetooth LE host stack exposing a custom GATT service. Zephyr’s power management subsystem governs sleep and idle transitions, with builds managed through the west build system.

  3. Load sensing

    A load cell paired with an instrumentation amplifier lifts the sensor’s microvolt-level output to a usable signal range while rejecting common-mode noise. The conditioned signal is digitised through the ADC, giving a clean, high-resolution force reading alongside motion data.

  4. Sensor fusion

    Motion and load data streams are combined on-board, allowing the firmware to make context-aware decisions — distinguishing a genuine event from incidental movement — rather than treating each sensor’s output in isolation.

  5. Haptic feedback

    Once a condition is detected, the solution drives a precision vibration motor to deliver immediate tactile feedback, closing the loop locally without waiting on a network round-trip.

  6. Connectivity

    BLE keeps the solution continuously paired with a companion app or gateway, streaming sensor data and event logs for storage, visualisation and longer-term analytics.

Specifications

Technical detail

The numbers the design had to hit.

Microcontroller
Nordic nRF52833 (BLE 5 SoC)
Power
Battery-operated, optimised for low power consumption
Motion sensor
3-axis accelerometer
Load sensor
Load cell with instrumentation amplifier and ADC
Feedback
Precision vibration motor (haptic)
Connectivity
Bluetooth Low Energy, real-time app/cloud sync
Firmware platform
Zephyr RTOS (nRF Connect SDK), west build system

Highlights

What stands out

Real-time edge intelligence

Sensor fusion and feedback decisions happen locally on the nRF52833, so the system responds instantly rather than depending on cloud latency.

Low-power, always-connected design

An efficient BLE stack plus firmware-level power management sustains a persistent wireless link without sacrificing battery life.

Clean analog-to-digital signal chain

Instrumentation amplifier and ADC front-end turn a noisy, low-level load cell signal into data reliable enough to fuse with motion data.

Cloud-ready architecture

BLE connectivity to companion apps positions the solution for integration into dashboards, historical analytics and fleet-level monitoring.

Outcome

Where it ended up

A fully functional embedded IoT prototype that unified multi-sensor data acquisition, on-board processing, haptic feedback and wireless connectivity into a single low-power platform — validating an architecture that can scale from a single connected deployment to a broader fleet of field-deployed IoT sensors.

Building something similar?

Send a specification, a block diagram, or a description of the problem. We will come back with an honest view of scope, risk and the fastest route to a working prototype.

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